Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome

85 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015, positive): “Further, this section would perhaps be incomplete without mentioning the work of Cuingnet et al. (2011) and Rasmussen et al. (2011) both of which influenced the drafting of this document.”
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification (2013, unknown): “…widely used in functional (Craddock et al., 2009; Davatzikos et al., 2005; De Martino et al., 2008; Mouro-Miranda et al., 2005; Wang et al., 2007) and structural (Cuingnet et al., 2011; Fan et al., 2007; Klöppel et al., 2008; Koutsouleris et al., 2009; Vemuri et al., 2008) neuroimaging analysis.”
Searchlight analysis: Promise, pitfalls, and potential (2013, methodology): “…community, which has developed new methods for addressing fMRI datasets and questions, as seen in the proliferation of relevant articles (e.g. Cuingnet et al., 2011; Mitchell et al., 2004; Van De Ville and Lee, 2012) and Searchlight analysis (also called information mapping) is an MVPA…”
BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment (2017, background): “ease in adults has been widely recognized [19, 23, 37, 52].”